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Updated: Jul 12, 2025

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model
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[基于残留网络的肺癌瘤突变负担的多分类预测模型]

Xiangfu Meng1, Chunlin Yu1, Xiaolin Yang2

  • 1School of Electronics and Information Engineering, Liaoning Technical University, Huludao, Liaoning 125000, P. R. China.

Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi
|October 25, 2023
PubMed
概括

这项研究引入了一种深度学习模型,用于使用数字病理图像预测非小细胞肺癌 (NSCLC) 的瘤突变负担 (TMB). 该模型准确预测TMB水平,为传统测序方法提供更快,更具成本效益的替代方案.

关键词:
多个尺度的注意力.非小细胞肺癌是非小细胞肺癌.剩余网络的残余网络瘤突变负担是瘤突变负担.

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